Mordecai 3: A Neural Geoparser and Event Geocoder

Andrew Halterman
3/23/2023
cs.CL

No official code found. Best implementation: ahalterman/mordecai3 (91 stars, MIT, last commit 2026-02-17).

Abstract

Mordecai3 is a new end-to-end text geoparser and event geolocation system. The system performs toponym resolution using a new neural ranking model to resolve a place name extracted from a document to its entry in the Geonames gazetteer. It also performs event geocoding, the process of linking events reported in text with the place names where they are reported to occur, using an off-the-shelf question-answering model. The toponym resolution model is trained on a diverse set of existing training data, along with several thousand newly annotated examples. The paper describes the model, its training process, and performance comparisons with existing geoparsers. The system is available as an open source Python library, Mordecai 3, and replaces an earlier geoparser, Mordecai v2, one of the most widely used text geoparsers (Halterman 2017).

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Code Implementations(1)

ahalterman/mordecai3Community100%
MIT

Full text geoparsing/toponym resolution with event geolocation

9125TeX, ShellApr 26, 20218 months agoMIT
geolocationgeoparsingspacytoponym-resolution

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Cite this paper

@article{halterman2023mordecai,
  title  = {Mordecai 3: A Neural Geoparser and Event Geocoder},
  author = {Andrew Halterman},
  year   = {2023},
  eprint = {2303.13675},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.13675v1}
}

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